On the Value of Reminders within E-Commerce Recommendations
UMAP, pp. 27-35, 2016.
Most research in recommender systems is focused on the problem of identifying and ranking items that are relevant for the individual users but unknown to them. The potential value of such systems is to help users discover new items, e.g., in e-commerce settings. Many real-world systems however also utilize recommendation lists for a diffe...More
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